
\begin{table}[ht!]
\begin{center}
\begin{tabular}{l c}
\toprule
 & Model 1 \\
\midrule
White          & $0.37^{***}$  \\
               & $(0.09)$      \\
Distance       & $0.16^{***}$  \\
               & $(0.05)$      \\
Houston        & $-0.04$       \\
               & $(0.34)$      \\
King County    & $0.10$        \\
               & $(0.40)$      \\
Los Angeles    & $0.71^{*}$    \\
               & $(0.32)$      \\
Orlando        & $0.31$        \\
               & $(0.36)$      \\
San Jose       & $0.27$        \\
               & $(0.44)$      \\
Seattle        & $0.72^{*}$    \\
               & $(0.33)$      \\
Tucson         & $0.65$        \\
               & $(0.34)$      \\
Intercept      & $-1.65^{***}$ \\
               & $(0.31)$      \\
\midrule
AIC            & $1072.59$     \\
BIC            & $1118.31$     \\
Log Likelihood & $-526.30$     \\
Deviance       & $486.59$      \\
Num. obs.      & $715$         \\
\bottomrule
\multicolumn{2}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Poisson regression used for relative risk and outcome test}
\label{tab:poissonRR2}
\end{center}
\end{table}
